Numpy arange() : create arrays with regularly spaced values

numpy.arange(start,stop, step,dtype=None)

Examples

import numpy as np
print(np.arange(0)) # []

print(np.arange(5)) # [0 1 2 3 4]

print(np.arange(start=1,stop=5,step=2)) # [1 3]

print(np.arange(1,5))

[1 2 3 4]

x=np.arange(3,3)
print(x) # []

Using start stop and step

print(np.arange(start=1,stop=5,step=2)) # [1 3]

print(np.arange(1,5,2)) # [1 3]

Using negative start, strop and steps

print(np.arange(-10,-3,2)) # [-10  -8  -6  -4]

print(np.arange(-3,-10,-2)) # [-3 -5 -7 -9]

print(np.arange(-3,10,3)) # [-3  0  3  6  9]

print(np.arange(.4, 2.8,.7)) # [0.4 1.1 1.8 2.5]

print(np.arange(-2.8, 2,.9)) # [-2.8 -1.9 -1.  -0.1  0.8  1.7]

dtype

print(np.arange(1,5,dtype=np.int8)) # [1 2 3 4]

print(np.arange(1,5,dtype=np.float64)) # [1. 2. 3. 4.]

my_ar=np.arange(1,5,dtype=np.float64)
print(my_ar.dtype) # float64

Subhendu Mohapatra

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